WA1.L1.3
Underwater Change Detection using Multiple Sampling-based Probabilistic Learner and Feature Preservance Discriminator
Mehvish Nissar, Badri Narayan Subudhi, Vinit Jakhetiya, Indian Institute of Technology Jammu, India; Amit Kumar Mishra, Aberystwyth University, United Kingdom of Great Britain and Northern Ireland
Session:
WA1.L1: Trustworthy Generalization in Visual Machine Learning Lecture
Track:
Special Sessions
Location:
Lecture Room 1
Presentation Time:
Wed, 30 Oct, 09:06 - 09:24 Gulf Standard Time (UTC +4)
Session Co-Chairs:
Mohamed Shehata, University of British Columbia, Canada and Sajid Javed, Khalifa University, UAE
Session WA1.L1
WA1.L1.1: FINE-TUNING TEXT-TO-IMAGE DIFFUSION MODELS FOR CLASS-WISE SPURIOUS FEATURE GENERATION
April Pyone Maung Maung, Hong Huy Nguyen, National Institute of Informatics, Japan; Hitoshi Kiya, Tokyo Metropolitan University, Japan; Isao Echizen, National Institute of Informatics, Japan
WA1.L1.2: REAL-TIME AND RESOURCE-EFFICIENT MULTI-SCALE ADAPTIVE ROBOTICS VISION FOR UNDERWATER OBJECT DETECTION AND DOMAIN GENERALIZATION
Lyes Saad Saoud, Zhenwei Niu, Lakmal Seneviratne, Irfan Hussain, Khalifa University, United Arab Emirates
WA1.L1.3: Underwater Change Detection using Multiple Sampling-based Probabilistic Learner and Feature Preservance Discriminator
Mehvish Nissar, Badri Narayan Subudhi, Vinit Jakhetiya, Indian Institute of Technology Jammu, India; Amit Kumar Mishra, Aberystwyth University, United Kingdom of Great Britain and Northern Ireland
WA1.L1.4: DOMAIN DILATION FOR SINGLE DOMAIN GENERALIZATION
Yuehui Fan, Baoyao Yang, Guangdong University of Technology, China; Meng Shen, Sun Yat-sen University, China; Fei Lyu, Hong Kong Baptist University, Hong Kong
WA1.L1.5: ARE OBJECTIVE EXPLANATORY EVALUATION METRICS TRUSTWORTHY? AN ADVERSARIAL ANALYSIS
Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib, Georgia Institute of Technology, United States of America; Mohamed Deriche, Ajman University, United Arab Emirates
Contacts